Azure Data Lake Storage Gen2: This is a fully managed, cloud-native data lake that supports the HDFS protocol. It allows you to store and analyze large amounts of data in its native format, without the need to move or transform the data.
A. Azure Data Lake Storage Gen2
Azure Data Lake Storage Gen2 is the best choice for migrating your on-premises storage solution to Azure with support for Hadoop Distributed File System (HDFS). It is a highly scalable and cost-effective storage service designed for big data analytics, providing integration with Azure HDInsight, Azure Databricks, and other Azure services. It is built on Azure Blob Storage and combines the advantages of HDFS with Blob Storage, offering a hierarchical file system, fine-grained security, and high-performance analytics.
Given answer A is correct
Azure Data Lake Storage Gen2: is designed for big data analytics, it combines the power of a high-performance file system with massive scale and economy to help you speed up your big data analytics. It allows the data to be organized in directories by date and time. It is the best choice for migrating your on-premises storage solution to Azure with support for Hadoop Distributed File System (HDFS). It is a highly scalable and cost-effective storage service designed for big data analytics, providing integration with Azure HDInsight, Azure Databricks, and other Azure services. It is built on Azure Blob Storage and combines the advantages of HDFS with Blob Storage, offering a hierarchical file system, fine-grained security, and high-performance analytics. Azure Data Lake Storage is optimized storage for big data analytics workloads.
"Azure Data Lake Storage Gen2 is primarily designed to work with Hadoop and all frameworks that use the Apache Hadoop Distributed File System (HDFS) as their data access layer."
https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction#hadoop-compatible-access
Azure DataLake Storage Gen2 has its own private API on top of https protocol, which is not compatible with HDFS internal protocol (used by NameNode and DataNode servers of the "Distributed File System" in hadoop) ...
However, the java API class hadoop "FileSystem" has an implementation for abfs
see here : https://github.com/apache/hadoop/blob/trunk/hadoop-tools/hadoop-azure/src/main/java/org/apache/hadoop/fs/azurebfs/AzureBlobFileSystem.java#L133
A is the answer.
https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction#key-features-of-data-lake-storage-gen2
Hadoop compatible access: Data Lake Storage Gen2 allows you to manage and access data just as you would with a Hadoop Distributed File System (HDFS). The new ABFS driver (used to access data) is available within all Apache Hadoop environments. These environments include Azure HDInsight, Azure Databricks, and Azure Synapse Analytics.
Data Lake Storage Gen2 allows you to manage and access data just as you would with a Hadoop Distributed File System (HDFS)
https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction
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